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    Taiwan's first public Model Context Protocol server for National Health Insurance data — rejection codes, ICD-10 mappings, audit indicators, semantic wiki search. Powered by OPDSTAR.
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    MIT
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    Enables scientific due diligence by grading claims against public literature, clinical trials, and filings, with explicit citations and optional attestation.
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    MIT
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    Enables LLM-based agents to interact with FHIR healthcare data through natural language prompts, providing full CRUD operations on FHIR resources, document processing, and semantic search capabilities.
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    MIT
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    Provides seamless integration with FHIR APIs, enabling AI/LLM tools to search, retrieve, and analyze clinical healthcare data with support for SMART-on-FHIR authentication and multiple transport protocols.
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    Apache 2.0
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    Enables conversational access to 400,000+ clinical trials on ClinicalTrials.gov, allowing users to search, compare, and retrieve trial details using plain English through MCP-compatible clients like Cursor and Claude Desktop.
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    MIT
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    Enables searching and retrieving detailed information from PubMed articles using the NCBI Entrez API. Supports configurable search parameters including title/abstract filtering and keyword expansion to find relevant scientific publications.
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    An MCP server that provides access to PubMed and NCBI's biomedical literature database for searching articles, retrieving metadata, and tracking citations. It enables users to explore related research, browse MeSH vocabulary, and find free full-text links.
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    MIT
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    A Model Context Protocol (MCP) server for querying drug information from the OpenFDA API. Features Retrieve drug label information by brand name Retrieve drug information by generic (active ingredient) name Get all brand versions of a generic drug Get adverse event (side effect) reports for a drug
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    MIT
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    Enables AI-driven pharmacogenomic analysis by querying structured genetic variant, drug response, and disease risk data. Supports natural language questions about medications, traits, and health risks based on user genome data, with privacy-first local execution.
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    MIT
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    Provides access to FishBase marine biology data including species information, ecological data, distribution records, and morphological details. Enables species name validation and conversion between common and scientific names through natural language queries.
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    Enables querying clinical trial information from the Chinese Clinical Trial Registry (ChiCTR) by searching trials with keywords, registration numbers, or years, and retrieving detailed trial information.
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    Apache 2.0
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    Predicts CRISPR gene dependencies and drug targets by integrating literature, regulatory/PPI networks, and genome-scale metabolic models.
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    Apache 2.0